Abstract
We have looked at how to visualize the relationships among the elements of a dataset in Chap. 4. This chapter is devoted to the use of Auto-CM in the transformation of datasets for the purpose of extracting further relationships among data elements. The first transformation we call the FS-Transform, which looks beyond an all or nothing, binary relationship that is typical of most ANNs. The extraction of these perhaps more subtle relationships can be thought of as gradual relationships, zero denoting no relationship is present and one denoting a full/complete relationship that is absolutely present. It is thus, akin to a fuzzy set. The second transformation is one, which “morph” the delineation between records and variables within records that we call Hyper-Composition.
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Buscema, P.M., Massini, G., Breda, M., Lodwick, W.A., Newman, F., Asadi-Zeydabadi, M. (2018). Dataset Transformations and Auto-CM. In: Artificial Adaptive Systems Using Auto Contractive Maps. Studies in Systems, Decision and Control, vol 131. Springer, Cham. https://doi.org/10.1007/978-3-319-75049-1_5
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